Open 0-60 Acceleration Dataset

This is an open dataset of 1,271 real 0-60 mph runs timed by FastTrack users between 2026-04-21 and 2026-10-01. Unlike published 0-60 figures, which come from professional drivers on prepared surfaces, every number here was recorded by an owner driving their own car. We report best, median, and 90th-percentile times alongside the sample size for each group, so you can see the spread rather than a single headline figure.

This page is the raw data. For how these measured times compare against manufacturer-claimed 0-60 figures, car by car, read Real-World 0-60 Times: Measured vs. Claimed.

Free to download and reuse under CC BY 4.0. Download the full CSV.

0-60 mph by model

Models with at least 5 valid runs, ordered by sample size.

VehicleRunsBest 0-60Median 0-60
BMW M340i663.16s3.75s
Honda Accord465.67s7.75s
Audi A3424.76s5.79s
Ford Mustang374.00s6.38s
Audi A4304.97s6.74s
Honda Civic295.80s8.61s
Tesla Model 3261.77s4.85s
Ford F-150244.47s6.47s
Volkswagen Jetta237.09s9.64s
BMW M240i222.76s4.10s
Volkswagen ID 4205.56s5.92s
BMW 540i203.06s3.25s
Infiniti Q50195.13s6.80s
Volkswagen Jetta Gli184.80s6.08s
Toyota Supra183.63s5.80s
Tesla Model Y183.42s3.86s
Ford F150173.99s7.24s
Genesis 4.6165.95s6.79s
Ford Mustang Mach-E165.77s6.53s
Tesla 3163.09s4.32s
BMW X6 M50i153.69s3.95s
Audi S4134.57s5.25s
Kia Stinger113.82s4.67s
Chevrolet Camaro115.41s7.96s
Ford Explorer114.04s5.19s
Skoda Octavia116.91s7.83s
Mercedes-Benz C43 AMG104.11s4.39s
Ford Ranger Raptor 3.0 V6105.73s6.23s
Volkswagen Golf R103.59s5.05s
MINI Cooper106.17s6.99s
Audi S393.75s4.22s
Alfa Romeo Giulia (952)84.73s6.77s
Dodge Charger84.47s5.64s
BMW 335i84.21s5.50s
BMW M483.62s4.66s
Skoda Octavia 188.65s10.27s
Volvo S60 T6 R-Design Polestar76.01s7.16s
BMW 330i74.75s5.25s
Audi Q575.28s5.90s
Vw Atlas Cross Sort76.67s8.41s
Mazda Cx-3076.17s6.95s
Audi A674.10s4.36s
Toyota Corolla710.27s11.72s
Ford Ranger75.34s6.87s
Tesla S Plaid72.51s2.80s
Volkswagen Tiguan79.65s10.27s
GMC Sierra65.39s8.37s
Hyundai Kona610.85s12.34s
Hyundai Genesis67.62s8.83s
Ford F25065.94s9.16s
BMW 440i64.25s4.83s
BMW X363.25s4.72s
Subaru WRX66.39s6.91s
Jeep 4xe66.01s7.68s
Volkswagen Golf65.12s7.84s
Audi A564.86s5.79s
Chev Camaro63.86s4.75s
Vw Polo69.20s9.73s
BMW 330xi64.89s5.62s
BMW 330e64.61s5.66s
Kawasaki Klr65067.41s8.14s
Volvo Xc6064.88s5.21s
BMW M253.29s3.97s
BMW 5 Series54.58s4.95s
BMW 328i56.82s9.10s
Chevrolet Silverado58.34s8.75s
Ford Taurus56.20s6.98s
Chevrolet Avalanche510.67s11.58s
Dodge Ram56.50s7.69s
Lexus Is35056.31s6.63s
BMW E9054.47s5.52s
Kawasaki Ninja 650r54.77s4.97s
Citroen C359.85s10.79s

0-60 mph by make

Makes with at least 8 valid runs. The 90th-percentile column shows the slow tail.

MakeRunsBest 0-60Median 0-6090th pct
BMW2502.76s4.45s6.86s
Ford1493.99s6.83s10.28s
Audi1263.03s5.77s8.02s
Volkswagen983.59s6.67s10.79s
Honda885.67s8.00s10.62s
Tesla721.77s4.22s5.45s
Toyota423.63s7.54s13.78s
Mercedes-Benz394.11s5.80s11.74s
Chevrolet333.28s8.92s12.00s
Infiniti285.13s7.16s10.00s
Dodge244.47s6.57s9.35s
Hyundai216.71s10.85s14.59s
Genesis213.79s6.57s7.42s
Kia193.82s6.08s10.79s
Skoda196.91s8.73s12.35s
Volvo183.86s6.18s9.29s
Kawasaki174.61s6.25s8.21s
Mazda163.16s6.96s8.84s
Vw146.67s9.43s10.25s
Lexus126.31s8.36s9.84s
MINI116.17s6.95s7.33s
Nissan114.67s9.63s16.33s
Subaru104.56s6.73s8.15s
GMC95.39s9.54s14.63s
Alfa Romeo94.73s6.39s7.79s
Cadillac94.25s8.24s29.12s
Jeep96.01s8.51s9.71s

Methodology

Every run was timed by the FastTrack app, which fuses GPS Doppler velocity with the phone's 100 Hz accelerometer through a Kalman-style estimator and then refines the result with a backward smoothing pass. Launch is detected from the accelerometer at roughly 30 ms rather than from GPS speed crossing zero. See how FastTrack measures accuracy for the full explanation.

Runs are excluded if they are marked invalid by the automatic sanity checker, flagged by an admin, deleted by their owner, set to private, or predate the 2026-04-21 validator rewrite. These are the same integrity gates the public leaderboards use, so a run hidden from the leaderboard never appears here.

Groups are published only above a minimum sample size — 5 runs for a model, 8 for a make — because a median drawn from two runs is noise. Times are aggregated per make/model, not per vehicle, so a single heavily-logged car can influence its group's median; sample sizes are shown so you can judge that yourself.

The dataset is aggregate-only by construction. It contains no usernames, user IDs, vehicle IDs, run IDs, locations, or timestamps — only grouped statistics.

How to cite this dataset

FastTrack. "Open 0-60 Acceleration Dataset." 1,271 GPS-timed runs, 2026-04-21 to 2026-10-01. Retrieved from https://fasttrackapp.biz/data/0-60-open-dataset

Licensed under CC BY 4.0. Attribution with a link to this page is all we ask.

Frequently asked questions

How is this dataset different from published 0-60 times?

Manufacturer and magazine 0-60 figures come from professional drivers on prepared surfaces in ideal conditions. Every number here was measured by an ordinary owner driving their own car, so the medians reflect what the car actually does in real conditions rather than what it can do at its best. That is why the median is often more than a second slower than the published figure, while the best column lands much closer to it.

How were these times measured?

Each run was timed by the FastTrack app on an iPhone or Android phone, fusing GPS Doppler velocity (sampled about once per second) with the phone's 100 Hz accelerometer through a Kalman-style estimator, then refined with a backward smoothing pass. Launch is detected from the accelerometer at roughly 30 ms rather than from GPS speed. Controlled comparisons put the result within about 0.02 s of a dedicated GPS meter.

Why do some cars show a median far slower than the best time?

Because these are real runs, not test sessions. A single owner may log a full-throttle pull, a half-throttle merge, and a cold-tire attempt on the same day. The best column shows the car's demonstrated potential; the median shows typical logged behavior. Both are reported so neither is mistaken for the other.

Can I use this data?

Yes. The dataset is published under CC BY 4.0 and the full CSV is a free download with no signup. Attribute it to FastTrack with a link to this page.

How often is it updated?

The dataset regenerates on every site deploy directly from the run database, so the figures here track the live leaderboard rather than a periodic snapshot.